Table 3

Results for regression model (GLM)

Coefficients GLMVIF GLMLasso
EstimateStd. errorz valuePr(>|z|)Estimate
(Intercept)2.130.0637.17<2e−16 *** 2.02
hotel_id = 2−0.080.01−7.139.86e−13 ***43.03−0.06
hotel_id = 3−1.180.03−37.70<2e−16 ***−1.09
hotel_id = 4−0.840.02−36.38<2e−16 ***−0.77
hotel_id = 5−0.670.02−34.51<2e−16 ***−0.61
hotel_id = 6−0.010.01−0.630.530.002
hotel_id = 7−0.580.02−27.50<2e−16 ***−0.54
Book0.610.00878.70<2e−16 ***4.820.63
TimeSpline
Webcare0.0550.015.162.45e−07 ***2.570.04
sigDepStaf0.0020.0040.540.592.450.0001
sigNameMgr0.020.0054.035.56e−05 ***5.890.02
Change0.040.0093.967.37e−05 ***1.360.03
Personal−0.0020.009−0.290.779.28 
Invitevisit−0.020.007−3.290.001 **7.94−0.01
Nonverbal−0.050.01−3.670.0002 ***1.10−0.05
Information−0.040.01−4.321.53e−05 ***4.18−0.02
Gratitude−0.0090.006−1.500.134.03−0.005
Apology−0.050.007−6.293.42e−10 ***3.34−0.04
Compensate0.020.0082.270.02 *2.110.01
Defensive0.020.0073.140.002 **4.210.01

Note(s): Signif. codes: 0 “***” 0.001 “**” 0.01 “*” 0.05

Null deviance: 120,407 on 1,143 degrees of freedom

Residual deviance: 9,988 on 1,119 degrees of freedom

Source(s): Developed by the authors

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